Biography
2010. 09 ~ 2015. 05. University of Wisconsin-Madison, Department of Computer Science, Bachelor of Science
2016. 03 ~ 2021. 08. Seoul National University, Department of Computer Science and Engineering, Ph.D
Careers
- 2021.09~2022.02 Post-Doc researcher, Seoul National University
- 2018.01~ Collaborater, Lawrence Berkely National Laborartory
Research Areas
HPC, BigData, Distributed System, Cloud System, Storage and SSD
Teaching
Introduction to Computer Engineering, Object Oriented Programming Language
Selected Publications
Optimizing Logging and Monitoring in Heterogeneous Cloud Environments for IoT and Edge Applications. ([SCIE, IF: 10.6, JCR 2.2%] IEEE Internet of Things Journal, 2023)
Design and Implementation of I/O Performance Prediction Scheme on HPC Systems through Large-scale Log Analysis. ([SCIE, IF: 10.835, JCR 6.8%] Journal of Big Data, 2023)
IFLustre: Towards Interference-free and Efficient Storage Allocation in Distributed File System. ([BK21 Conference, IF: 2] MASCOTS '22)
Journal Papers
< During Ph.D >
Kim, Sunggon, and Yongseok Son. "Optimizing Key-Value Stores for Flash-Based SSDs via Key Reshaping." IEEE Access 9 (2021): 115135-115144.
Kim, Sunggon, Jaehyun Han, Hyeonsang Eom, and Yongseok Son. "Improving I/O performance in distributed file systems for flash-based SSDs by access pattern reshaping." Future Generation Computer Systems 115 (2021): 365-373.
Myung, Kihyeon, Sunggon Kim, Heon Young Yeom, and Jiwoong Park. "Efficient and Scalable External Sort Framework for NVMe SSD." IEEE Transactions on Computers 70, no. 12 (2020): 2211-2217.
Kim, Sunggon, Dongwhan Kim, Yongseok Son, and Hyeonsang Eom. "Towards predicting GPGPU performance for concurrent workloads in Multi-GPGPU environment." Cluster Computing 23, no. 3 (2020): 2261-2272.
Kim, Sunggon, Hyeonsang Eom, and Yongseok Son. "Improving spatial locality in virtual machine for flash storage." IEEE Access 7 (2018): 1668-1676.
Son, Yongseok, Moonsub Kim, Sunggon Kim, Heon Young Yeom, Nam Sung Kim, and Hyuck Han. "Design and implementation of SSD-assisted backup and recovery for database systems." IEEE Transactions on Knowledge and Data Engineering 32, no. 2 (2018): 260-274.
< After Joining SeoulTech>
◾ Improving Performance of Key-Value Stores for High-Performance Storage Devices, APPLIED SCIENCES-BASEL, vol.14 No.17, 2024김성곤
◾ Predictive Analytics for Mortality: FSRNCA-FLANN Modeling Using Public Health Inventory Records, IEEE ACCESS, vol.12 pp.81252~81264, 2024김성곤
◾ Empowering Cyberattack Identification in IoHT Networks With Neighborhood-Component-Based Improvised Long Short-Term Memory, IEEE INTERNET OF THINGS JOURNAL, vol.11 No.9 pp.16638~16646, 2024김성곤
◾ A hybrid model based on convolution neural network and long short-term memory for qualitative assessment of permeable and porous concrete, CASE STUDIES IN CONSTRUCTION MATERIALS, vol.19, 2023김성곤
◾ Analyzing I/O Characteristics of Time-Series Data Using High Performance Storage Devices, IEEE ACCESS, 2023김성곤
◾ Design and Implementation of Enabling SQL-Query Processing for Ethereum-based Blockchain Systems., Electronics, 2023김성곤
◾ Optimizing Logging and Monitoring in Heterogeneous Cloud Environments for IoT and Edge Applications, IEEE Internet of Things Journal, 2023김성곤
◾ Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis, Journal of Big Data, vol.10 No.1, 2023김성곤
◾ Improving I/O Performance via Address Remapping in NVMe Interface, IEEE ACCESS, vol.10 pp.119722~119733, 2022김성곤
◾ Design and implementation of dynamic I/O control scheme for large scale distributed file systems, Cluster Computing: The Journal of Networks, Software Tools and Applications, 2022김성곤
Conference Papers
< During Ph.D >
Bang, Jiwoo, Chungyong Kim, Sunggon Kim, Qichen Chen, Cheongjun Lee, Eun-Kyu Byun, Jaehwan Lee, and Hyeonsang Eom. "Finer-lru: A scalable page management scheme for hpc manycore architectures." In 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 567-576. IEEE, 2021.
Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son, Hyeonsang Eom. "Towards HPC I/O Performance Prediction through Large-scale Log Analysis" 29th ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC) Stockholm, Sweden, 2020
Bang, Jiwoo, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Sunggon Kim, and Hyeonsang Eom. "HPC workload characterization using feature selection and clustering." In Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, pp. 33-40. 2020.
Kim, Sunggon, Dongwhan Kim, Hyeonsang Eom, and Yongseok Son. "Towards Predicting GPGPU Performance for Concurrent Workloads." In 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS* W), pp. 164-169. IEEE, 2019.
Wang, Teng, Suren Byna, Glenn K. Lockwood, Shane Snyder, Philip Carns, Sunggon Kim, and Nicholas J. Wright. "A zoom-in analysis of i/o logs to detect root causes of i/o performance bottlenecks." In 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pp. 102-111. IEEE, 2019.
Kim, Sunggon, Alex Sim, Kesheng Wu, Suren Byna, Teng Wang, Yongseok Son, and Hyeonsang Eom. "DCA-IO: A dynamic I/O control scheme for parallel and distributed file systems." In 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pp. 351-360. IEEE, 2019.
Son, Yongseok, Sunggon Kim, Heon Y. Yeom, and Hyuck Han. "{High-Performance} Transaction Processing in Journaling File Systems." In 16th USENIX Conference on File and Storage Technologies (FAST 18), pp. 227-240. 2018.
Son, Yongseok, Jaeyoon Choi, Jekyeom Jeon, Cheolgi Min, Sunggon Kim, Heon Young Yeom, and Hyuck Han. "SSD-assisted backup and recovery for database systems." In 2017 IEEE 33rd International Conference on Data Engineering (ICDE), pp. 285-296. IEEE, 2017.
< After Joining SeoulTech >
◾ Dong Kyu Sung, Yongseok Son, Alex Sim, Kesheng Wu, Suren Byna, Houjun Tang, Hyeonsang Eom, Changjong Kim, Sunggon Kim, A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis, IEEE International Parallel & Distributed Processing Symposium (IPDPS'24), San Francisco, 2024김성곤
◾ Sangjin Lee, Lan Anh Nguyen, Hyeongi Yeo, Sunggon kim, Sungrae Cho, Yongseok Son*, A Survey on File Defragmentation Techniques on Modern Storage System., Proceedings of 14th International Conference on Information and Communication Technology Convergence, Jeju, 2023김성곤
◾ Dereje Regassa, Dongkyu Sung, Sunggon Kim, Heon Young Yeom, Yongseok Son, EHS: An Efficient Hashing Scheme for Persistent Memory, In Proceedings of 38th ACM/SIGAPP Symposium on Applied Computing (SAC'23), Tallinn, Estonia, 2023김성곤
◾ Seokjoo Cho, Sangjin Lee, Kiet Tuan Pham, Nguyen Lan Anh, Sunggon Kim, Yongseok Son, A Survey on Minimizing Lock Contention in Shared Resources in Linux Kernel, In Proceedings of International Conference on ICT Convergence, 제주, 2022김성곤
◾ Changjong Kim, Yongseok Son, Sunggon Kim, Towards Access Pattern Prediction for Big Data Applications, In Proceedings of International Conference on ICT Convergence, Jeju, 2022김성곤
◾ 5, A Survey on Lock-free Binary Search Tree., In Proceedings of International Conference on ICT Convergence, Jeju, 2022김성곤
◾ Kiet Tuan Pham, Sangjin Lee, Seokjoo Cho, Sunggon Kim, Yongseok Son, A Survey on Data Management using Integrated Rule-Oriented Data System., In Proceedings of International Conference on ICT Convergence, Jeju, 2022김성곤
◾ Sunggon Kim, DongKyu Sung, Yongseok Son, IFLustre: Towards Interference-free and Efficient Storage Allocation in Distributed File System., 24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, Nice, France, 2022김성곤
Projects
<서울과기대, 연구책임자>
[4]Forecasting & Classification of Cyber Intrusion Using Modified Deep Learning Techniques (서울과학기술대학교 산학협력단)
[3] 고성능 컴퓨팅 시스템 성능 향상을 위한 접근 패턴 기반 데이터 관리 프레임워크 개발 (한국연구재단 생애첫연구)
[2] 시제품제작 프로그램 (산학연 선도대학 (LINC 3.0) 육성사업)
[1] 고성능 병렬처리 시스템 구조개선 방안 연구
< 서울과기대 이전, 참여연구자 >
KISTI (한국과학기술정보연구원)
- KISTI 슈퍼컴퓨터 시스템 로그 데이터의 체계적 수집 방안 및 관련 시스템 성능 분석 연구 (2021)
한국연구재단
- BK21 서울대학교 지능형컴퓨팅사업단 (2021)
- 초고성능 프로그래밍환경 및 계산시스템 개발 (2020)
- 서울대학교 컴퓨터미래인재양성사업단 (2019)
- 멀티 GPGPU 환경에서 커널들의 동시 실행을 고려한 스케줄링을 통해 GPUPU 가상화 효율화 (2019)
- 자율제어 데이터센터의 성능 최적화를 위한 동적자원관리 시스템 연구 개발 (2017)
- 이기종 매니코어 환경을 위한 통합 로드 밸런싱 기법 연구 (2016)
삼성전자
- Edge향 대용량 데이터 고속 처리 기술 (2018)
중소기업기술정보진흥원
- 단일 지점 개인키 보안 취약성 해결을 위한 분산키 생성과 서명에 관한 기술 개발 (2020)
IITP (정보통신기술진흥센터)
- 빅데이터 처리 고도화 핵심기술개발 사업 총괄 및 고성능 컴퓨팅 기술을 활용한 성능 가속화 기술 개발 (2017)
- 프라이빗 블록체인 기반 범용 보안 데이터베이스 플랫폼 (2017)
◾ [포닥 연구지원사업] 수정된 딥러닝 기법을 이용한 사이버 침입 예측 및 분류, 서울과학기술대학교 산학협력단, 2022.11.~2023.10.김성곤
◾ 고성능 컴퓨팅 시스템 성능 향상을 위한 접근 패턴 기반 데이터 관리 프레임워크 개발, 한국연구재단, 2022.09.~2024.02.김성곤
◾ 고성능병렬처리시스템 구조개선 방안 연구, 대검찰청, 2022.07.~2022.11.김성곤
Miscellaneous
2024
- Program Committee: IEEE CLUSTER (BK21: IF : 1)
2023
- Reviewer: Multimedia Tools and Applications
- Reviewer: Journal of Supercomputing
- Special Issue Editor: Electronics
- Program Committee: HiPC 2023 (BK21: IF : 1)
2021
- Reviewer: Cluster Computing
- Reviewer: Elsevier- Journal of Systems Architecture
- Invited talk: KCC 2021, 우수학회논문, Towards HPC I/O Performance Prediction through Large-scale Log Analysis
2020
- Reviewer: IEEE Systems Journal
- Invited talk: KCC 2020, 우수학회논문, DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File System